Dr. Yu-Li Wang is a faculty member in the Department of Bioenvironmental Systems Engineering at National Taiwan University. His research focuses on hydrogeology.

His group integrates field observations, numerical modeling, stochastic methods, geophysical measurements, and data-driven approaches to better understand complex surface and subsurface water processes. Current research also explores to what extent can artificial intelligence and machine learning be used for subsurface characterization.

Our laboratory studies how water moves through soil, groundwater, vegetation, and the surrounding environment. We are particularly interested in understanding subsurface systems that are difficult to observe directly and in developing methods to characterize them using multiple sources of environmental data.

Our research integrates field experiments, numerical simulation, hydrogeophysics, stochastic modeling, data fusion, and machine learning. Students may have opportunities to work with hydrological and geophysical datasets, numerical models, and computational tools.

We welcome students interested in hydrogeology and biogeoscience. Research projects range from fundamental hydrological-process studies to practical applications in subsurface characterization, contaminant remediation, and climate-resilient hydrological environments.